The task of face recognition has been actively researched in recent years. This paper
provides an up-to-date review of major human face recognition research. We first present an …

Despite the existence of various biometric techniques, like fingerprints, iris scan, as well as
hand geometry, the most efficient and more widely-used one is face recognition. This is …

Face recognition presents a challenging problem in the field of image analysis and
computer vision, and as such has received a great deal of attention over the last few years …

A general and efficient design approach using a radial basis function (RBF) neural classifier
to cope with small training sets of high dimension, which is a problem frequently …

In this paper, an efficient method for high-speed face recognition based on the discrete
cosine transform (DCT), the Fisher's linear discriminant (FLD) and radial basis function …

Classifier combination holds the potential of improving performance by combining the
results of multiple classifiers. For domains with very large numbers of classes, such as …

The main aim of this paper is to provide multilevel authentication in biometric systems.
Multimodal biometric is the usage of multiple biometric indicators by personal identification …

This paper presents a novel and interesting combination of wavelet techniques and
eigenfaces to extract features for face recognition. Eigenfaces reduce the dimensions of face …

Although many approaches for face recognition have been proposed in the last years, none
of them can overcome the main problem of this kind of biometrics: the huge variability of …

Although many algorithms have been proposed, face recognition and verification systems
can guarantee a good level of performances only for controlled environments. In order to …